
\begin{table}
\begin{center}
\begin{tabular}{l D{)}{)}{9)3} D{)}{)}{9)3} D{)}{)}{9)3} D{)}{)}{9)3} D{)}{)}{9)3}}
\toprule
 & \multicolumn{1}{c}{Care} & \multicolumn{1}{c}{Fairness} & \multicolumn{1}{c}{Loyalty} & \multicolumn{1}{c}{Authority} & \multicolumn{1}{c}{Sanctity} \\
\midrule
GAL-TAN (CHES)           & 0.06 \; (0.10)        & 0.06 \; (0.09)        & 0.15 \; (0.10)        & 0.15 \; (0.10)        & 0.03 \; (0.10)        \\
Year                     & 0.16 \; (0.10)        & 0.15 \; (0.09)        & 0.08 \; (0.11)        & 0.11 \; (0.10)        & 0.10 \; (0.10)        \\
Government Participation & -0.73 \; (0.21)^{***} & -1.03 \; (0.19)^{***} & -0.90 \; (0.23)^{***} & -0.92 \; (0.23)^{***} & -0.72 \; (0.21)^{***} \\
\midrule
AIC                      & 219.69                & 208.86                & 231.94                & 231.71                & 224.48                \\
BIC                      & 234.05                & 223.23                & 246.31                & 246.07                & 238.84                \\
Log Likelihood           & -103.84               & -98.43                & -109.97               & -109.85               & -106.24               \\
Num. manifestos          & 81                    & 81                    & 81                    & 81                    & 81                    \\
Num. groups: countries   & 7                     & 7                     & 7                     & 7                     & 7                     \\
Var: Country (Intercept) & 0.22                  & 0.40                  & 0.03                  & 0.00                  & 0.23                  \\
Var: Residual            & 0.64                  & 0.53                  & 0.81                  & 0.83                  & 0.68                  \\
\bottomrule
\multicolumn{6}{l}{\scriptsize{$^{***}p<0.001$; $^{**}p<0.01$; $^{*}p<0.05$}}
\end{tabular}
\caption{Regression table for all English-translated manifestos, scored with eMFD for the dimension Vice.}
\label{tab:app_reg_trans_emfd_vice}
\end{center}
\end{table}
